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From: Pierre C <lists@peufeu.com>
To: Joachim Worringen <joachim.worringen@iathh.de>
Cc: pgsql-performance@postgresql.org
Subject: Re: performance of temporary vs. regular tables
Date: Mon, 07 Jun 2010 00:37:23 +0200
Message-ID: <op.vdwg4ly6eorkce@apollo13> (raw)
In-Reply-To: <4C06547E.2010104@iathh.de>
References: <4BFB837C.6010005@iathh.de>
	<AANLkTik4_exB6U3GlfLMNIgPSk0G3RVQ8fWBTzwekrke@mail.gmail.com>
	<4BFB91A8.20805@iathh.de>
	<201005251241.59605.andres@anarazel.de>
	<4BFD4643.9010901@iathh.de>
	<4BFFA32D.8010009@iathh.de>
	<op.vdn3kgtheorkce@immo.peufeu.com>
	<4C06547E.2010104@iathh.de>


> Yes, the "other" reason is that I am not issueing a single SQL command,  
> but import data from plain ASCII files through the Pyhton-based  
> framework into the database.
>
> The difference between your measurement and my measurent is the upper  
> potential of improvement for my system (which has, on the other hand,  
> the advantage of being a bit more powerful and flexible than a single  
> SQL statement....;-) )

Ah, in that case ... ;)

You could give pypy a try, sometimes it's a lot slower, sometimes it's a  
lot faster.



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